Cantitate/Preț
Produs
Total produse
Vezi coșul
Modern Classification and Data Analysis: Methodology and Applications to Micro- and Macroeconomic Problems de Krzysztof Jajuga

Modern Classification and Data Analysis: Methodology and Applications to Micro- and Macroeconomic Problems: Studies in Classification, Data Analysis, and Knowledge Organization

Editat de Krzysztof Jajuga, Grażyna Dehnel, Marek Walesiak
en Limba Engleză Paperback – 16 oct 2022
This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Poznań, Poland, September 8–10, 2021. 
Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.
Citește tot Restrânge

Din seria Studies in Classification, Data Analysis, and Knowledge Organization

Preț: 62711 lei

Preț vechi: 73778 lei
-15% Nou

Puncte Express: 941
Preț estimativ în valută:
12001€ • 12585$ • 10007£

Carte tipărită la comandă

Livrare economică 07-21 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031101892
ISBN-10: 3031101898
Pagini: 384
Ilustrații: XV, 384 p. 135 illus., 88 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.56 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization

Locul publicării:Cham, Switzerland

Cuprins

Methods.- Abstract Fuzzy Cognitive Maps as a Toll for Structuring New Research Problems.- Identification of key concerns and sentiments towards data quality and data strategy challenges using Sentiment Analysis and Topic Modeling.- Survival Trees and Direct Adjusted Survival Curves - Prediction of Survival Probabilities.- A Measure of Cluster Stability in Dynamic Cluster Analysis.- Outlier Identification for Symbolic Data with the Application of the DBSCAN Algorithm.- An optimised selection of statistical disclosure control methods – a case study involving microdata from the Polish survey of accidents at work.- Applications in Finance.- Comparison of Influence of Various Proposals of Transforming Nominants Into Stimulants on Linear Ordering and Grouping of Listed Companies.- Attributes affecting the exposure time of a residential property.- Determinants of the real estate prices in Poland.- Similarity of open-ended mutual funds during a pandemic. Research for equity and bond funds.-Applications in Economics.- Application of random forests in the study of differences in perception of the neighbourhood of national parks in the Euroregion Pomerania.- Successes and failures of scientific journals and their determinants.- Spatial effects in regional inequality analysis of own income potential among Polish communes.- Evaluation of quality of neural network models and discriminant analysis in ROPO forecasting.- The Application of Survival Analysis Methods in the Examination of Foreign Divestment in Poland.- Longevity risk versus longevity dividend.- Applications in Social Issues.- Application of the Intuitionistic Fuzzy Synthetic Measure in the subjective quality of life measurement based on survey data.- Measuring Subjective Poverty: Methodological and Application Aspects.- Graphic characters as Twitter age group identifiers.- Cluster Ensemble Stability in Clustering of EU Members in Terms of Sustainable Development Goals.- Perception of climate change – differences between the Y and BB generations.- Applications with COVID-19 Data.- Cash and non-cash payments for in-store purchases during the COVID-19 pandemic - similarities and differences between Generation X and Generation Y consumers. Case of Poland.- Regional labour markets as a result of the impact of the COVID-19 pandemic – a Polish-German borderland case study.- The Labour Market Consequences of the COVID-19 Pandemic in the European Union Countries: Selected Issues.- Analysis of the excessive number of deaths related to the COVID-19 pandemic in European countries.

Notă biografică

Krzysztof Jajuga is a Professor of Finance and Statistics and Chair of the Department of Financial Investments and Risk Management at the Wroclaw University of Economics and Business, Poland. He has been a Visiting Professor at several universities in the USA, Europe and China and holds an honorary doctorate from Cracow University of Economics and an honorary professorship from Warsaw University of Technology. His scientific interests include financial econometrics and financial markets, risk analysis and management, household finance and multivariate statistics. 
Grażyna Dehnel is an Associate Professor at the Department of Statistics, Poznań University of Economics and Business, Poland. Her main research interests include small area estimation, classification and data analysis methods, survey sampling, and short-term and structural business statistics. She is also interested in outlier robust regression applied on business data and data integration. 
Marek Walesiak is a Professor of Economics, and Chair of the Department of Econometrics and Computer Science at the Wroclaw University of Economics and Business, Poland. He is a member of the Methodological Commission and the Scientific Statistical Council in Statistics Poland (GUS) and an active member of many scientific professional bodies, including the Section of Classification and Data Analysis (SKAD). His scientific interests are in classification and data analysis, composite indicators, multivariate statistical analysis, marketing research, and computational techniques in R.

Textul de pe ultima copertă

This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Poznań, Poland, September 8–10, 2021. 
Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.

Caracteristici

Presents the latest research on data analysis and classification tools for economic problems Features applications in economics, finance, social issues and to Covid-19 data Accessible to a wide audience, including researchers, data scientists and statisticians in statistical offices